UMMS Affiliation
Department of Quantitative Health Sciences
Publication Date
2012-11
Document Type
Article
Subjects
Telemedicine; Text Messaging
Disciplines
Communication Technology and New Media | Health Communication | Health Information Technology | Health Services Administration
Abstract
In mobile health (M-health), Short Message Service (SMS) has shown to improve disease related self-management and health service outcomes, leading to enhanced patient care. However, the hard limit on character size for each message limits the full value of exploring SMS communication in health care practices. To overcome this problem and improve the efficiency of clinical workflow, we developed an innovative system, MedTxting (available at http://medtxting.askhermes.org), which is a learning-based but knowledge-rich system that compresses medical texts in a SMS style. Evaluations on clinical questions and discharge summary narratives show that MedTxting can effectively compress medical texts with reasonable readability and noticeable size reduction. Findings in this work reveal potentials of MedTxting to the clinical settings, allowing for real-time and cost-effective communication, such as patient condition reporting, medication consulting, physicians connecting to share expertise to improve point of care.
Keywords
UMCCTS funding
Rights and Permissions
Copyright ©2012 AMIA. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose.
Source
AMIA Annu Symp Proc. 2012;2012:558-67. Epub 2012 Nov 3.
Journal/Book/Conference Title
AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
PubMed ID
23304328
Related Resources
Repository Citation
LIu F, Moosavinasab S, Houston TK, Yu H. (2012). MedTxting: learning based and knowledge rich SMS-style medical text contraction. Population and Quantitative Health Sciences Publications. Retrieved from https://escholarship.umassmed.edu/qhs_pp/1095
Included in
Communication Technology and New Media Commons, Health Communication Commons, Health Information Technology Commons, Health Services Administration Commons